Senior Applied Scientist, Rufus Features Science

Amazon Development Centre (London) Limited; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading technology company in London seeks a Senior Applied Scientist to develop AI-driven shopping experiences. Candidates should have a strong background in machine learning and natural language processing, with a PhD and relevant industry experience. This role offers an opportunity to work on innovative AI technologies, collaborating with a large team to directly impact millions of customers.

Qualifications

• 6+ years of industry experience in machine learning and NLP.
• Proficiency in Python with production-level implementation.
• Experience with deep learning frameworks.

Responsibilities

• Lead the development of agentic LLM solutions for conversational shopping.
• Design innovative AI technologies for NLP and ML applications.
• Collaborate with teams to bring research into production.

Skills

Machine Learning

Natural Language Processing (NLP)

Generative AI

Python

Deep Learning

Cloud Computing (AWS)

Education

PhD in NLP or related fields

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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Senior Applied Scientist, Rufus Features Science, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

dd6228d5d4fd

Job Views:

10

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

At Amazon, we're revolutionizing the future of shopping with Rufus, our AI-driven shopping assistant. We're seeking an exceptional Senior Applied Scientist with a strong machine learning, NLP and Gen AI background with relevant industry experience to join our Rufus Features Science team in London. You will work at the intersection of the latest research and real-world impact, pushing the boundaries of agentic AI, multimodal language technology, leveraging RAG and RL, to create unparalleled shopping experiences. As a Senior Applied Scientist, you'll be at the forefront of developing state-of-the-art, conversation-based, agentic, multimodal shopping experiences. You will leverage the latest advancements in Multimodal and Visual Large Language Models (MLLMs/VLMs), and AI Agents to transform how customers discover, research, and purchase products.

As a Senior Applied Scientist at Amazon, you'll set the standard for scientific excellence, make decisions that influence our algorithm and architecture development, and drive innovation in agentic MLLM technology. Your work will directly enhance how customers interact with our platform, making product discovery and purchasing more intuitive, efficient, and personalized. If you're passionate about pushing the boundaries of AI, thrive in solving complex problems, and want to make a significant impact on the e-commerce industry, we want to hear from you.

Key job responsibilities
* Lead the development of state-of-the-art agentic LLM solutions for conversational shopping, considering scalability, latency, and quality.
* Design and implement innovative AI technologies that push the boundaries of Natural Language Processing (NLP), Generative AI, MLLMs/VLMs, Machine Learning (ML), Retrieval-Augmented Generation (RAG), and Reinforcement Learning (RL).
* Lead science roadmaps spanning multiple areas, working with senior leaders and stakeholders.
* Develop and evaluate production Agentic AI systems for real customer use cases, focusing on LLM-based conversational interfaces and multimodal interactions.
* Drive end-to-end MLLM projects with high ambiguity, scale, and complexity, taking a hands-on approach to the most critical aspects.
* Collaborate with cross-functional teams to rapidly bring new research into production, directly impacting millions of customers.
* Communicate progress and results internally to both technical and non-technical audiences and publish at top-tier conferences.

About the team
You will be part of the Rufus Features Science team based in London, working alongside over 100 engineers, designers and product managers, focused on shaping the future of AI-driven shopping experiences at Amazon. This team works on every aspect of the shopping experience, from understanding multimodal user queries to planning and generating MLLM responses that combine text, image, audio and video.

BASIC QUALIFICATIONS

- PhD
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- PhD in NLP, Information Retrieval, Machine Learning, or related fields (or equivalent experience), with 6+ years of industry experience.
- Extensive experience with deep learning-based NLP, IR, and MLLM/VLM methods.
- Strong track record in addressing real-world problems using ML and NLP.
- Expertise in developing and owning production ML models and systems, particularly those involving LLMs.
- Proficiency in Python and experience with production-level implementation.
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
- Familiarity with cloud computing platforms, particularly AWS.
- Demonstrated ability to lead and shape scientific roadmaps across multiple areas, collaborating with product, science, and engineering managers.
- Knowledge of recent advancements in AI agents, including multi-agent systems and agent evaluation frameworks.

PREFERRED QUALIFICATIONS

- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Good publication record at top-tier venues such as ACL, NAACL, EMNLP, SIGIR, ICLR, NeurIPS, or similar.
- Understanding of e-commerce and recommendation systems.
- Excellent communication skills, solid work ethic, and a strong desire to write production-quality code.